Dejun Mu

575 total citations
42 papers, 404 citations indexed

About

Dejun Mu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Dejun Mu has authored 42 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Dejun Mu's work include Software Engineering Research (6 papers), Text and Document Classification Technologies (6 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (5 papers). Dejun Mu is often cited by papers focused on Software Engineering Research (6 papers), Text and Document Classification Technologies (6 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (5 papers). Dejun Mu collaborates with scholars based in China, United States and Australia. Dejun Mu's co-authors include Xiaoyan Cai, Lantian Guo, Xiaoxue Wu, Xiang Chen, Libin Yang, Wei Zheng, Fei Hao, Yu Zhao, Tingting Yu and Hang Dai and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Dejun Mu

39 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dejun Mu China	10	229	176	65	51	48	42	404
Qinkai Zheng China	6	142 0.6×	134 0.8×	61 0.9×	71 1.4×	39 0.8×	7	357
Saihua Cai China	13	270 1.2×	93 0.5×	181 2.8×	50 1.0×	88 1.8×	70	432
David Escudero García Spain	10	244 1.1×	56 0.3×	71 1.1×	53 1.0×	52 1.1×	29	402
Jingyu Zhang China	8	114 0.5×	233 1.3×	156 2.4×	66 1.3×	27 0.6×	32	424
Liwei Kuang China	10	219 1.0×	115 0.7×	257 4.0×	76 1.5×	66 1.4×	17	521
Huowang Chen China	9	164 0.7×	94 0.5×	99 1.5×	67 1.3×	68 1.4×	66	369
Jungang Xu China	9	210 0.9×	125 0.7×	88 1.4×	88 1.7×	24 0.5×	50	397

Countries citing papers authored by Dejun Mu

Since Specialization

Citations

This map shows the geographic impact of Dejun Mu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dejun Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Mu more than expected).

Fields of papers citing papers by Dejun Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dejun Mu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dejun Mu. The network helps show where Dejun Mu may publish in the future.

Co-authorship network of co-authors of Dejun Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Dejun Mu. A scholar is included among the top collaborators of Dejun Mu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dejun Mu. Dejun Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Luo, Peng, et al.. (2025). Hiding Functions within Functions: Steganography by Implicit Neural Representations. Tsinghua Science & Technology. 31(2). 1058–1074.

Xun, Zhao, Sijia Zhang, Yijie Xun, et al.. (2025). An Adaptive Vehicle Trajectory Prediction Scheme Based on Digital Twin Platform. IEEE Internet of Things Journal. 12(11). 16204–16213. 1 indexed citations

Liu, Zhiwei, Xiaoyu Li, & Dejun Mu. (2024). Log anomaly detection and diagnosis method based on deep learning. International Journal of Data Mining and Bioinformatics. 29(1/2). 119–132.

Wu, Zhiang, et al.. (2023). Electrical Fault Diagnosis From Text Data: A Supervised Sentence Embedding Combined With Imbalanced Classification. IEEE Transactions on Industrial Electronics. 71(3). 3064–3073. 32 indexed citations

Zhang, Lu, Dejun Mu, Yuxuan Huang, et al.. (2022). Pareto Frequency-Aware Power Side-Channel Countermeasure Exploration on CNN Systolic Array. IEEE Transactions on Circuits & Systems II Express Briefs. 70(3). 1124–1128. 3 indexed citations

Zhao, Jinxiong, Xun Zhang, Hai Wang, & Dejun Mu. (2022). Load Trend Prediction Analysis based on LSTM and Sliding Time Window. 43. 1239–1242. 2 indexed citations

Zhao, Jinxiong, et al.. (2022). Load Forecasting based on CNN-LSTM for 96 Time Points. 4. 1344–1348. 1 indexed citations

Wu, Xiaoxue, Wei Zheng, Xiang Chen, et al.. (2021). Improving high-impact bug report prediction with combination of interactive machine learning and active learning. Information and Software Technology. 133. 106530–106530. 82 indexed citations

Zhang, Lu, et al.. (2020). Machine-Learning-Based Side-Channel Leakage Detection in Electronic System-Level Synthesis. IEEE Network. 34(3). 44–49. 6 indexed citations

10.

Guo, Lantian, et al.. (2019). Personalized QoS Prediction for Service Recommendation With a Service-Oriented Tensor Model. IEEE Access. 7. 55721–55731. 10 indexed citations

11.

Mu, Dejun, et al.. (2018). Expede Herculem: Learning Multi Labels From Single Label. IEEE Access. 6. 61410–61418. 1 indexed citations

12.

Yang, Libin, Yu Zheng, Xiaoyan Cai, et al.. (2018). A LSTM Based Model for Personalized Context-Aware Citation Recommendation. IEEE Access. 6. 59618–59627. 62 indexed citations

13.

Guo, Lantian, et al.. (2017). Exploiting Fine-Grained Co-Authorship for Personalized Citation Recommendation. IEEE Access. 5. 12714–12725. 34 indexed citations

14.

Mu, Dejun, Lantian Guo, Xiaoyan Cai, & Fei Hao. (2017). Query-Focused Personalized Citation Recommendation With Mutually Reinforced Ranking. IEEE Access. 6. 3107–3119. 28 indexed citations

15.

Mu, Dejun, et al.. (2013). Heuristic Genetic Algorithm for Feature Selection in Incomplete Information Systems. Dianzi xuebao. 41(3). 451–455. 1 indexed citations

16.

Mu, Dejun, et al.. (2013). Information Hiding Algorithm Based on Gaussian Pyramid and Color Field Structure. International Journal of Digital Content Technology and its Applications. 7(5). 222–229. 5 indexed citations

17.

Liu, Zheyuan & Dejun Mu. (2012). Analysis of resource usage profile for MapReduce applications using Hadoop on cloud. 25. 1500–1504. 3 indexed citations

18.

Zhang, Tao, et al.. (2011). Information hiding (IH) Algorithm Based on Gaussian Pyramid and GHM (Geronimo Hardin Massopust) Multi-wavelet Transformation. International Journal of Digital Content Technology and its Applications. 5(3). 210–218. 5 indexed citations

19.

Mu, Dejun, et al.. (2009). Study of information hiding algorithm based on GHM and color transfer theory. Optoelectronics Letters. 5(6). 454–458. 1 indexed citations

20.

Dai, Guanzhong, et al.. (2006). Document Clustering Method Based on Frequent Co-occurring Words. Pacific Asia Conference on Language, Information, and Computation. 442–445. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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